# -- coding: utf-8 -- 
# Name: captcha
import random
from PIL import Image, ImageDraw, ImageFont, ImageFilter05   # map:将str函数作用于后面序列的每一个元素

numbers = ''.join(map(str, range(10)))07
chars = ''.join((numbers))
def create_validate_code(size=(120, 30),chars=chars,
mode="RGB",bg_color=(255, 255, 255),fg_color=(255, 0, 0),font_size=18,font_type="STZHONGS.TTF",length=4,draw_points=True,point_chance=2):
    '''''size: 图片的大小，格式（宽，高），默认为(120, 30)
            chars: 允许的字符集合，格式字符串
            mode: 图片模式，默认为RGB
            bg_color: 背景颜色，默认为白色
            fg_color: 前景色，验证码字符颜色
            font_size: 验证码字体大小
            font_type: 验证码字体，默认为Monaco.ttf
            length: 验证码字符个数
            draw_points: 是否画干扰点
            point_chance: 干扰点出现的概率，大小范围[0, 50]    '''
    width, height = size30
    img = Image.new(mode, size, bg_color)  # 创建图形
    draw = ImageDraw.Draw(img)  # 创建画笔

    def get_chars():
        '''生成给定长度的字符串，返回列表格式'''
        return random.sample(chars, length)
    def create_points():
        '''''绘制干扰点'''
        chance = min(50, max(0, int(point_chance)))  # 大小限制在[0, 50]
        # py3是range，py2是xrange39
        for w in range(width):
            for h in range(height):
                tmp = random.randint(0, 50)
                if tmp > 50 - chance:
                    draw.point((w, h), fill=(0, 0, 0))
    def create_strs():
        '''''绘制验证码字符'''
        c_chars = get_chars()
        strs = '%s' % ''.join(c_chars)
        font = ImageFont.truetype(font_type, font_size)
        font_width, font_height = font.getsize(strs)
        draw.text(((width - font_width) / 3, (height - font_height) / 4),strs, font = font, fill = fg_color)
        return strs
    if draw_points:
        create_points()
        strs = create_strs()# 图形扭曲参数
        params = [1 - float(random.randint(1, 2)) / 100,0,0,0,1 - float(random.randint(1, 10)) / 100,float(random.randint(1, 2)) / 500,float(random.randint(1, 2)) / 500]
        img = img.transform(size, Image.PERSPECTIVE, params)  # 创建扭曲
        img = img.filter(ImageFilter.EDGE_ENHANCE_MORE)  # 滤镜，边界加强（阈值更大）
        return img, strs